Embedding evolutionary multiobjective optimization into fuzzy linguistic combination method for fuzzy rule-based classifier ensembles

2014 ◽  
Author(s):  
Krzysztof Trawinski ◽  
Oscar Cordon ◽  
Arnaud Quirin
Keyword(s):  
Multiobjective Optimization ◽  
Fuzzy Rule ◽  
Combination Method ◽  
Classifier Ensembles ◽  
Rule Based ◽  
Evolutionary Multiobjective Optimization ◽  
Rule Based Classifier ◽  
Fuzzy Linguistic

A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers

2013 ◽  
Vol 21 (5) ◽  
pp. 950-965 ◽  
Author(s):  
Krzysztof Trawinski ◽  
Oscar Cordon ◽  
Luciano Sanchez ◽  
Arnaud Quirin
Keyword(s):  
Fuzzy Rule ◽  
Combination Method ◽  
Rule Based ◽  
Fuzzy Linguistic

A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery

2012 ◽  
Vol 50 (1) ◽  
pp. 130-148 ◽  
Author(s):  
Dimitris G. Stavrakoudis ◽  
Georgia N. Galidaki ◽  
Ioannis Z. Gitas ◽  
John B. Theocharis
Keyword(s):  
Land Cover ◽  
Hyperspectral Imagery ◽  
Fuzzy Rule ◽  
Land Cover Classification ◽  
Rule Based ◽  
Rule Based Classifier

Network anomaly detection using a fuzzy rule-based classifier

2017 ◽  
pp. 61-65
Author(s):  
Soumadip Ghosh ◽  
Arindrajit Pal ◽  
Amitava Nag ◽  
Shayak Sadhu ◽  
Ramsekher Pati
Keyword(s):  
Anomaly Detection ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Rule Based Classifier ◽  
Network Anomaly Detection

scholarly journals A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad Hossein Fazel Zarandi ◽  
Neda Mohammadhasan ◽  
Susan Bastani
Keyword(s):  
Performance Evaluation ◽  
Expert System ◽  
Intellectual Capital ◽  
Fuzzy Rule ◽  
Qualitative Evaluation ◽  
Linguistic Variables ◽  
Rule Based ◽  
Proposed Model ◽  
Linguistic Approach ◽  
Fuzzy Linguistic

A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to understand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy linguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is demonstrated by the result of intellectual capital performance evaluation for a sample company.

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